
The proposed method extends previous work on sensor fusion by introducing DL models in a modelling strategy with two sequential regression models. These deep neural networks have convolutional layers that extract contextual spatial information, which has been exploited both in other types of regression problems [1]} and also for AGB prediction [2]}, but not in a sequential regression approach to upscaling and information enhancement.

The proposed method applies image translation to truly heterogeneous images and domains in a regression context. Similar image translation has previously been done for general purposes [3]} and within image analysis tasks like change detection [4]}, but is new in the biomass estimation and regression setting.

